hagabbar / Glasgow_Machine_Learning_Course-2019Links
A hands-on machine learning course for physics and astronomy PhD students at the University of Glasgow. Courses designed by John Armstrong and Hunter Gabbard.
☆13Updated 6 years ago
Alternatives and similar repositories for Glasgow_Machine_Learning_Course-2019
Users that are interested in Glasgow_Machine_Learning_Course-2019 are comparing it to the libraries listed below
Sorting:
- Generates initial conditions for cosmological N-body simulations, optionally applying Particle Linear Theory corrections.☆14Updated last month
- HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!☆134Updated 2 months ago
- Notebooks for PHYS 440/540 at Drexel University☆16Updated 8 months ago
- Analysis kit for large-scale structure datasets, the massively parallel way☆113Updated 2 weeks ago
- Large suite of N-body simulations☆95Updated 4 months ago
- ASTR 598: Astro-statistics and Machine Learning☆39Updated 7 years ago
- Machine Learning for Physics and Astronomy☆64Updated 3 years ago
- A collection of research notebooks in *cosmology*.☆21Updated 5 months ago
- A public repository for the code L-PICOLA☆17Updated last year
- Fit and compare complex models reliably and rapidly. Advanced nested sampling.☆187Updated 3 months ago
- Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.☆206Updated 7 months ago
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆107Updated last month
- Machine learning and statistics for physicists☆99Updated 4 years ago
- SkyPy: A package for modelling the Universe.☆125Updated 2 months ago
- An interactive python package for cosmology and parameter forecasts.☆23Updated 7 years ago
- Python package for computing Kerr quasinormal mode frequencies, separation constants, and spherical-spheroidal mixing coefficients☆46Updated this week
- A generic Chang and Cooper solver for Fokker-Planck style equations☆10Updated 4 years ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆87Updated last month
- Public version of PolyChord: See polychord.co.uk for PolyChordPro☆93Updated 2 weeks ago
- Theoretical models of kilonova presented in Kasen et al, Nature, 2017☆22Updated 7 years ago
- ☆73Updated last year
- A pythonic library for probing nuclear physics and cosmology with multimessenger analysis☆39Updated 2 weeks ago
- Error analysis, diagnostic tests and plots for nested sampling calculations.☆15Updated 2 years ago
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆71Updated 3 years ago
- Bayesian analysis of black hole ringdowns in gravitational-wave data.☆35Updated last week
- Code for Bayesian Analysis☆151Updated 2 weeks ago
- Materials for a mini-course on code development and packaging☆23Updated 2 weeks ago
- Hadronic Interaction Model interface in PYthon☆38Updated this week
- This repo contains my introductory python textbook for astronomy students, which covers the basics of learning the language with an empha…☆64Updated 4 years ago
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆66Updated 2 years ago